fix: test

README.md

@@ -11,58 +11,6 @@ dataset_info:
   features:
   - name: portrait_1
     dtype: image
-  - name: photo_1
-    dtype: image
-  - name: photo_2
-    dtype: image
-  - name: photo_3
-    dtype: image
-  - name: photo_4
-    dtype: image
-  - name: photo_5
-    dtype: image
-  - name: photo_6
-    dtype: image
-  - name: photo_7
-    dtype: image
-  - name: photo_8
-    dtype: image
-  - name: photo_9
-    dtype: image
-  - name: photo_10
-    dtype: image
-  - name: photo_11
-    dtype: image
-  - name: photo_12
-    dtype: image
-  - name: photo_13
-    dtype: image
-  - name: photo_14
-    dtype: image
-  - name: photo_15
-    dtype: image
-  - name: photo_16
-    dtype: image
-  - name: photo_17
-    dtype: image
-  - name: photo_18
-    dtype: image
-  - name: photo_19
-    dtype: image
-  - name: photo_20
-    dtype: image
-  - name: photo_21
-    dtype: image
-  - name: photo_22
-    dtype: image
-  - name: photo_23
-    dtype: image
-  - name: photo_24
-    dtype: image
-  - name: photo_25
-    dtype: image
-  - name: photo_26
-    dtype: image
   - name: worker_id
     dtype: string
   - name: age
@@ -73,10 +21,10 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 927211725
+    num_bytes: 42517034
     num_examples: 14
   download_size: 923699881
-  dataset_size: 927211725
+  dataset_size: 42517034
 ---
 
 # The Portrait and 26 Photos (272 people)

portrait_and_26_photos.py

@@ -33,32 +33,32 @@ class PortraitAnd26Photos(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             features=datasets.Features({
                 'portrait_1': datasets.Image(),
-                'photo_1': datasets.Image(),
-                'photo_2': datasets.Image(),
-                'photo_3': datasets.Image(),
-                'photo_4': datasets.Image(),
-                'photo_5': datasets.Image(),
-                'photo_6': datasets.Image(),
-                'photo_7': datasets.Image(),
-                'photo_8': datasets.Image(),
-                'photo_9': datasets.Image(),
-                'photo_10': datasets.Image(),
-                'photo_11': datasets.Image(),
-                'photo_12': datasets.Image(),
-                'photo_13': datasets.Image(),
-                'photo_14': datasets.Image(),
-                'photo_15': datasets.Image(),
-                'photo_16': datasets.Image(),
-                'photo_17': datasets.Image(),
-                'photo_18': datasets.Image(),
-                'photo_19': datasets.Image(),
-                'photo_20': datasets.Image(),
-                'photo_21': datasets.Image(),
-                'photo_22': datasets.Image(),
-                'photo_23': datasets.Image(),
-                'photo_24': datasets.Image(),
-                'photo_25': datasets.Image(),
-                'photo_26': datasets.Image(),
+                # 'photo_1': datasets.Image(),
+                # 'photo_2': datasets.Image(),
+                # 'photo_3': datasets.Image(),
+                # 'photo_4': datasets.Image(),
+                # 'photo_5': datasets.Image(),
+                # 'photo_6': datasets.Image(),
+                # 'photo_7': datasets.Image(),
+                # 'photo_8': datasets.Image(),
+                # 'photo_9': datasets.Image(),
+                # 'photo_10': datasets.Image(),
+                # 'photo_11': datasets.Image(),
+                # 'photo_12': datasets.Image(),
+                # 'photo_13': datasets.Image(),
+                # 'photo_14': datasets.Image(),
+                # 'photo_15': datasets.Image(),
+                # 'photo_16': datasets.Image(),
+                # 'photo_17': datasets.Image(),
+                # 'photo_18': datasets.Image(),
+                # 'photo_19': datasets.Image(),
+                # 'photo_20': datasets.Image(),
+                # 'photo_21': datasets.Image(),
+                # 'photo_22': datasets.Image(),
+                # 'photo_23': datasets.Image(),
+                # 'photo_24': datasets.Image(),
+                # 'photo_25': datasets.Image(),
+                # 'photo_26': datasets.Image(),
                 'worker_id': datasets.Value('string'),
                 'age': datasets.Value('int8'),
                 'country': datasets.Value('string'),
@@ -96,7 +96,7 @@ class PortraitAnd26Photos(datasets.GeneratorBasedBuilder):
                 row[5]: {
                     'path': row[6],
                     'bytes': row[7]
-                } for row in annotation.itertuples()
+                } for row in annotation.itertuples() if row[5] == 'portrait_1'
             }
 
             age = annotation.loc[annotation['Type'] ==